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Background

Design-centric working groups (e.g., AVT-237 and AVT-252) have consistently shown that there is design benefit to coupling more engineering disciplines at higher levels of fidelity earlier in the development process. But, there is no mathematical framework to determine which disciplines, which level of coupling, and which level of fidelity is required to capture the physics most critical to a particular system’s design, or how to make the best possible design decision with constrained computing resources. Currently, these decisions are based solely on engineering experience. This approach works reasonably well for systems that are similar to previous designs, but can fail for unique and innovative vehicles and technologies.

Objectives

The primary purpose of this task group is to identify and extend the current State of the Art associated with design frameworks for adaptive selection of sources of information of different fidelity, based on data and physics, for system-level vehicle design. A variety of test problems will be developed by which adaptive selection and the mixing of data produced by different information sources can be evaluated.